We propose to bring together two kinds of linguistic resources—interlinear glossed text (IGT) and a language-independent precision grammar resource—to automatically create precision grammars in the context of language documentation. This paper takes the first steps in that direction by extracting major-constituent word order and case system properties from IGT for a diverse sample of languages.


  author = {Bender, Emily M. and Goodman, Michael Wayne and Crowgey, Joshua and Xia, Fei},
  title = {Towards Creating Precision Grammars from Interlinear Glossed Text: Inferring Large-Scale Typological Properties},
  booktitle = {Proceedings of the 7th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities},
  month = aug,
  year = {2013},
  address = {Sofia, Bulgaria},
  publisher = {Association for Computational Linguistics},
  pages = {74--83},
  url = {http://www.aclweb.org/anthology/W13-2710}